基于遗传算法参数优化的ECAS车身高度控制策略  

Height control strategy of ECAS based on parameter optimization using genetic algorithm

作　　者：杨勇福 洪小英[1,2] 唐伟 Yang Yongfu;Hong Xiaoying;Tang Weiyi(Insitute of Modern Manufacturing,Sichuan Vocational College of Information Technology,Guangyuan 628040,China;School of Materials Science and Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]四川信息职业技术学院完现代制造学院,四川广元628040 [2]重庆大学材料科学与工程学院,重庆400044

出　　处：《汽车知识》2024年第11期55-58,共4页AUTOMOTIVE KNOWLEDGE

基　　金：四川信息职业技术学院青年课题基金项目(项目编号:2022C35)。

摘　　要：基于车辆的通过性和安全稳定性,针对电控空气悬架系统车身高度调节过程中存在的过充、过放以及调节时间较长等问题,设计积分分离PID控制器,构建专门适用于电控空气悬架车身高度调节系统的目标函数,利用遗传算法对控制器参数寻优,得到控制参数的最优解。基于车身高度调节系统数学模型,完成车身高度调节控制策略仿真验证。仿真结果表明,基于遗传算法参数优化后的控制策略响应迅速,调节过程平稳。该控制策略简单、鲁棒性强,为推进电控空气悬架技术的实际工程应用与车辆行驶安全提供了参考。Based on vehicle passability and safety stability,aiming at the problems of over-charging,over-discharging,and long adjustment time in the height adjustment process of the electronically controlled air sus-pension system,an integral separation PID controller was designed firstly,and an objective function specifi-cally applicable to the electronically controlled air suspension height adjustment system was constructed,then,the controller parameters were optimized using genetic algorithms to obtain the optimal solution for the control parameters.Besides,a mathematical model of the vehicle height adjustment system was established.Finally the simulation verification of the control strategy was completed.The simulation results show that the control strat-egy based on parameter optimization using genetic algorithm has a rapid response and process is smooth.The control strategy is simple and robust,providing a theoretical reference for promoting the practical engineering application of electronically controlled air suspension technology and vehicle driving safety.

关 键 词：空气悬架 车身高度调节 遗传算法 仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] U463[自动化与计算机技术—控制科学与工程]